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Mudit

Transforming ecommerce item catalogue stewardship using GenAI and vision computing

Submitted Nov 10, 2025

Indicate the track in which your submission fits: Track 2: AI in Manufacturing & Digital Transformation Type of submission: 30 mins talk

GenAI and Vision Computing models offer a way to simplify and automate ecommerce item catalogue stewardship tasks. They are capable of everything between from predicting and enriching attributes for better guest experience and findability to creating automated infographics that tell the story of the item in one picture. This powers the e-commerce platform by increasing data fidelity and providing richer data for customers across millions of SKUs and hundreds of item types. Gen AI and vision computing are transforming item onboarding and management processes and is having a deep impact on the future of catalogue management.

In this talk, we will see share how Target (a $100B+ retailer based out of US) is architecting the future of catalogue management and rewriting/simplifying the process using GenAI and Vision Models.

Listeners will be able to takeaway -

  • How GenAI and Vision computing is disrupting the traditional way of item catalogue managment
  • How it is enabling creation of richer content type for items
  • Pre-requisites and challenges in architecting such a system

This is going to be beneficial for:

  • Technologists
  • Ecommerce business leaders and participants
  • AI enthusiasts who want to see cutting edge application of AI

Bio:
Mudit is a seasoned scientist who works as a Senior Director, Data Sciences at Target. Target is one of the largest ecommerce retailer and retail media network in the United States. Mudit leads a team of data scientists and engineers to embed intelligent decisioning at scale to optimize and improve retail media performance and automate and enrich e-commerce catalogue over millions of SKUs.

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